Algoritam za mjerenje broja otkucaja srca pogodan za korištenje na ugradbenim računalnim sustavima

undergraduate thesis

• Title (english): Algorithm for Heart Rate Detection Suitable for Use in Embedded Systems
• Author: Katarina Silov-Tepić
• Mentor: Ratko Magjarević (mentor)
• Committee member: Ratko Magjarević (predsjednik povjerenstva)
• Committee member: Dominik Džaja (član povjerenstva)
• Committee member: Goran Šeketa (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2018-09-19, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Električna aktivnost srca mjeri se pomoću elektrokardiografa (EKG) i u standardnim dijagnostičkim postupcima mjerenje traje nekoliko stotina milisekundi. Suvremene tehnologije zasnovane na elektroničkim sklopovima i mikrokontrolerima niske potrošnje i malih dimenzija te bežičnoj tehnologiji omogućuju neprestano (kontinuirano) praćenje rada srca, pri čemu se prvenstveno prati broj otkucaja srca. Dobiveni mjereni zapisi u sebi sadržavaju koriste informacije o načinu radu srca te se kao takvi mogu izdvojiti koristeći različite algoritme za obradu signala. Pomoću programskog alata Matlab potrebno je ostvaren algoritam koji će detektirati broj otkucaja srca. Implementirani algoritam trebao bi biti pogodan za korištenje na mikrokontrolerima u stvarnom vremenu.

Abstract (english)

The electrical activity of the heart is measured by an electrocardiograph (EKG) and in standard diagnostic procedures the measurement lasts several hundred milliseconds. Contemporary technologies based on electronic circuits and low-power and small-sized microcontrollers and wireless technology enable continuous (continuous) heart rate monitoring, primarily monitoring heart rate. The obtained measured records include information about heart mode and can be extracted using different signal processing algorithms. Using the Matlab software tool is realized an algorithm that will detect the heart rate count. The implemented algorithm should be suitable for use on microcontrollers in real time.

• Keywords: Srce; EKG; QRS kompleks; Srčani ritam; Pan-Tompkins; valićna transformacija; Hilbertova transformacija
• Keywords (english): Hearth; EKG; QRS complex; Hearth rate; Pan-Tompkins; wavelet transformation; Hilbert transformation
• Language: croatian
• URN:NBN: urn:nbn:hr:168:101613
• Study programme: Title: Electrical Engineering and Information Technology; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-14 00:41:56